• Transactions of the Korean Society of Automotive Engineers
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• v.11 no.4
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• pp.180-188
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• 2003

The vehicle simulator is a useful virtual reality system. The simulator enables engineers to effectively research and analyze various experiments. Therefore, the development of a specific vehicle simulator is required, and its performance must be verified. This paper verifies the performance of Pusan National University Vehicle Simulator. Human sensibility ergonomic tests of vehicle simulator were also executed. The sense of simulator motion was chosen as the standard of performance evaluation. The driver's senses were subdivided into senses of rectilinear and rotational velocities. This study extracted ergonomic sensibility words that can be used to evaluate the performance of the simulator As a practical application of simulator, the relation was studied between the sense of simulator motion and the characteristics of drivers, who are classified into their sexes and driving careers. A statistical method was applied to human sensibility ergonomic tests of vehicle simulator.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2001.05a
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• pp.36-41
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• 2001

감성 공학 과제가 진행되면서 많은 데이터들이 생산되었다. 하지만 데이터의 효율적인 관리가 이루어지지 않고 있는 실정이다. 이에 효과적인 데이터 관리 및 정보 공유, 나아가 다른 연구에의 활용을 목표로 본 연구를 진행하게 되었다. 연구의 큰 틀은 웹 페이지에서 받아들인 데이터를 바로 데이터베이스에 입력·저장하는 것이다. 이로 인해 크게 웹 페이지와 페이지에서 입렵된 데이터를 받아서 저장하는 데이터베이스, 두 부분으로 구분하여 진행하였다. 본 논문은 데이터 관리의 하나의 예시를 제시하고자 한다.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2011.11a
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• pp.9-10
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• 2011

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2002.11a
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• pp.53-58
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• 2002

본 논문은 감성공학 데이터의 지속적인 지표화를 위해 과정의 자동화를 제안하며 자동 지표화가 문서의 자동 요약과 유사하다는 점에 착안하여 문서 자동분류, 정보유형 추출, 특성언어 추출 및 문장 재구성이라는 단계별 기술의 기초가 되는 정보유형 및 핵심어, 그리고 특성표현을 통한 정보문 추출 방법에 대해 연구하였다. 감성공학 코퍼스 분석을 통한 본 연구는 감성공학 분야에서의 지식 관리 시스템과 자동 요약 시스템에 활용될 수 있다.

• IE interfaces
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• v.18 no.2
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• pp.158-166
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• 2005

Human-error and mental stress caused by psychophysiological dissonance between people and artificial environments have become a social problem. And it is a common knowledge that comfort environment reduces human-error and mental stress. Comfort sensibility is related to complex interactions between fabric, climatic, physiological and psychological variables. Currently, comfort sensibility has been evaluated by many sensory tests. However, it is difficult to evaluate comfort sensibility because a concrete concept of comfort sensibility is hard to define. In this paper, we propose a model to evaluate the comfort sensibility using Fuzzy-weighted score on an individual's subjective state for the stimulus. To represent the degree of comfort sensibility level for the stimulus, we represent comfort sensibility using 2 dimensional sensibility vector model. And we use the fuzzy-weighted score that is a fuzzy version of the weighted checklist technique computerized for evaluating the subjects. As an example, this model is applied to 1/f fluctuation sound evaluation. The results show that this model can be effectively used to the quantitative evaluation of comfort sensibility for the stimulus.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2000.04a
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• pp.352-357
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• 2000

A full-scale driving simulator is being developed as an effective test-bed for reproducing realistic driving situation in a safe and tightly controlled environment and conducting various human sensibility ergonomics studies. The simulator will be equipped with a 6 degree-of-freedom, high frequency motion base and a 4 channel, wide field-of-view visual system. The simulator will be fully interactive, highly realistic, and yet economical, taking advantages of the fast growing PC technology.

• Proceedings of the KIEE Conference
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• 2004.07d
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• pp.2699-2701
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• 2004

This paper describes a new algorithm for human sensibility evaluation using two personality-group templates of electroencephalogram (EEG) signals. EEG signals of two groups arc collected in relaxed state, comfortable state and uncomfortable state. First of all, the characteristics of EEGs in relaxed state for two groups are compared. After verification of the results, an algorithm for sensibility evaluation is developed. In comparison of the characteristics for two personality-group EEG signals. there are distinct difference between the EEG patterns of the extrovert and the introvert. Upon these findings, the algorithm for human sensibility evaluation is designed. The results of the algorithm showed 90.0% of coincidence with given tasks. This seems to be compromising results for subject independent sensibility evaluation using EEG signal.

• Proceedings of the KIEE Conference
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• 2008.07a
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• pp.2010-2012
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• 2008

This study describes a system for human sensibility evaluation using PPG(photoplethysmogram) signal and biofeedback algorithm to respond the bad(negative) mood. For this objective, PPG signals for two emotional states(positive/negative) are collected. To evoke the test emotions, happy(or joyful) and sad(or irritating) movie files are collected and played in subjects' monitor. From the acquired PPG signal, the heart rate variability(HRV) is calculated. Using the HRV and its FFT spectra, the human sensibility is evaluated. Since the heart is a representative organ which is controlled by the autonomic nervous system(ANS), the ANS may reflect the changes in emotion. The biofeedback algorithm is designed with motion image player interacting with the results of the sensibility evaluation. It was shown that HRV was changed according to the subject's emotions. Accordingly, the sensibility evaluation test showed feasibility of the our method.

• Proceedings of the KIEE Conference
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• 2002.07d
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• pp.2690-2692
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• 2002

This paper describes a technique for human sensibility evaluation using 10-channel EEG(electroencephalogram). The proposed method uses the linear predictor coefficients as EEG feature parameters and a neural network as sensibility pattern classifier. For subject independent system, multiple templates are stored and the most similar template can be selected. EEG signals corresponding to 4 emotions such as, relaxation, joy, sadness and anger are collected from 5 armature performers. The states of relaxation and joy are considered as positive sensibility and those of sadness and anger as negative. The classification performance using the proposed method is about 72.6%. This will be promising performance in the human sensibility evaluation.

• Proceedings of the KIEE Conference
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• 2005.07d
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• pp.2959-2961
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• 2005

This study presents a human sensibility evaluation algorithm based on the personality-group templates of EEGs. For this objective, 16-channel EEG signals of 10 adults are collected. After Preprocessing of EEG, various EEG Parameters are estimated and compared. The proposed algorithm uses LP coefficients, neural network and pre-/post-processing techniques. The results showed good performance in human sensibility evaluation.